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Python map() and lambda() Use Cases and Examples

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 In Python, map() and lambda functions are often used together for functional programming. Here are some examples to illustrate how they work. Python map and lambda top use cases 1. Using map() with lambda The map() function applies a given function to all items in an iterable (like a list) and returns a map object (which can be converted to a list). Example: Doubling Numbers numbers = [ 1 , 2 , 3 , 4 , 5 ] doubled = list ( map ( lambda x: x * 2 , numbers)) print (doubled) # Output: [2, 4, 6, 8, 10] 2. Using map() to Convert Data Types Example: Converting Strings to Integers string_numbers = [ "1" , "2" , "3" , "4" , "5" ] integers = list ( map ( lambda x: int (x), string_numbers)) print (integers) # Output: [1, 2, 3, 4, 5] 3. Using map() with Multiple Iterables You can also use map() with more than one iterable. The lambda function can take multiple arguments. Example: Adding Two Lists Element-wise list1 = [ 1 , 2 , 3 ]
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Python Delete Duplicates in List Faster Way

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Removing duplicates in List simplified using SET method. It's a simple method. Just you need SET and Print to remove duplicates. Removing duplicates is common in Data science projects. What is list A list is a collection of elements. The elements can be duplicates or non-duplicates. Today's task is to remove duplicate elements in the List. Faster way to remove list duplicates Create a List Use SET Print the result List with duplicates my_list = ['The', 'unanimous', 'Declaration', 'of', 'the', 'thirteen','united', 'States', 'of', 'America,', 'When', 'in', 'the', 'Course', 'of', 'human'] Apply set method >>> non_dupes = set(my_list) Print Final list >>> print(non_dupes) Here, if you observe, there are no duplicates. The duplicates are now removed. It displays only non-duplicate values.  Here 'the' is a duplicate value. That'
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